Enterprises deploy machine learning within SAP and cloud pipelines to catch data errors instantly and boost efficiency ...

The Northeast Frontier Railway (NFR) and IIT Guwahati unveil DRISHTI, an AI-based surveillance system designed to improve ...

This AI-driven intrusion detection system integrates blockchain and federated learning, ensuring robust security for 6G ...

AI-driven tools are seen to strengthened cybersecurity defenses through various ways such as anomaly detection, predictive analytics, and automated incident response, the same technologies are also ...

Introduction In the rapidly evolving cyber-threat landscape, traditional signature-based defences are no longer sufficient. Threat actors increasingly use stealth, lateral movement, encrypted channels ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

Feed, a leading market data solutions and index management provider for the global financial industry, is proud to announce that its AI-powered anomaly detection solution, dxFeed Grenadier, has been ...

Explore how Indian telecom operators can leverage generative AI to enhance operations, improve efficiency, and drive revenue ...

Data science is a catalyst for societal transformation. Its practitioners work at the nexus of innovation, and ethics, ...

Vinoth Manamala Sudhakar exemplifies excellence in data science leadership through his technical expertise, business focus, ...

Explore how Saumen Biswas is revolutionising software reliability and observability with AI-driven insights, enhancing ...

The threat intelligence market is forecasted to expand from USD 11.55 billion in 2025 to USD 22.97 billion by 2030, at a CAGR of 14.7%. Key drivers include a shift to proactive security strategies and ...